Recent diary entries
Can someone help to remove duplicate entries in presets. I found at least 40% of the items are HTML “1” (alt+1)
The unforgettable experience at 2018 FOSS4G in Dar es salaam, Tanzania.
Excitement started from the day I received an email that I had won the travel grant to the 2018 FOSS4G in Dar es salaam. It all began when I submitted my paper to be considered for the presentation at the 2018 FOSS4G. Clean Streets Kampala is a MapUganda project running in Kampala City with the major aim of creating open data to make the city clean. My paper was subjected to voting and it emerged as one of the accepted presentations at the conference with #374 as its identity. My presentation can be found here
The journey to Dar es salaam.
It was the best experience to cross my country for the first time to attend the first international conference. Me and a team of youth mappers left Kampala on Saturday August 25th using a bus for Dar and the journey was fun. We arrive in Dar es Salaam on the morning of August 27th. We checked in our hotel and then went to the conference center where we were welcomed to the conference, given tags, t-shirts and other stuff.
The 2018 FOSS4G was my first ever FOSS4G conference to attend and my experience is unforgettable because of so many friends that I made, workshops I attended and presentations. The conference organization was on point and the most amazing part of the conference was the use of Attendify app that made the whole conference paperless. There was also a lot of new things to learn during workshops and presentations like how different geo-spatial practitioners are using open source tools in their daily work, Gender inclusiveness in OSM communities, new softwares and many more. I also got a chance to attend the HOT summit where the teams were presenting about their activities in Africa and beyond. My favorite presentations and workshops included; * An interactive understanding of free and open source geospatial ecosystems. * Modeling natural hazard in gvSIG * Missing maps year 4! * Esri Youth Mappers workshop at Ardhi University.
The social events
2018 FOSS4G social events were amazing. 1. The first social event at The Badminton institute in made me meet new friends like Esau from Tanzania and David Williams from California. 2. The Gala at Golden Turip hotel was full of fun with alot of dance moves from almost every attendee of the conference and also perfomance from the local dance groups. 3. The Travel grant program event at High Spirit was also interesting. It gave us a chance to play cards that were given out by Geocat.
About Dar es salaam
It feels good to be in Dar es salaam. The cold breath of the coast of the Indian ocean. The people were so hospitable and welcoming. There was always good service in the hotel where we were staying. I liked the sea food and coconut in Dar es salaam. I got a chance to use the Mwendokasi public transport system that i found so interesting, very fast and so cheap. Also Uber, Taxify were available as transport sources in Dar.
I would like to Thank the organizers of the 2018 FOSS4G conference for their wonderful work, for the travel grant program. Special thanks also go to the HOT team and all other sponsors for making the conference happen. Asante sana
The 2018 FOSS4G left no one behind.
Ethiopia's main economic activity is Agriculture. Smallholders in Ethiopia farm around 37% of the lands and the rest 8% goes to the large-scale commercial farms. Large-scale commercial farms produce crops such as rice, maize, coffee, tea, cotton, pulse, rubber, and palm oil.
Invest in agriculture is the most important and most effective strategy for poverty reduction in rural areas. As part of Ethiopia’s development strategy, the Ethiopia government has set out to attract more foreign investment in large-scale commercial agriculture as outlined in this policy.
Mapping Commercial farms with the World Bank
In the large commercial farm mapping task with the World Bank, we mapped more than 190 large commercial farms in lowlands Ethiopia. Ethiopia lowlands, usually defined as places below 1,500 meters in altitude, account for approximately 60 percent of Ethiopian territory and 12 percent of the population.
Big farmlands can be visible from high-resolution satellite imagery. But such satellite imagery in OpenStreetMap for Ethiopia is outdated and high cloud cover. These factors make mapping difficult.
To better locate large commercial farmlands, we used multiple satellite imagery and tools: High-resolution Satellite imagery (e.g. ESRI base map), Sentinel-2 Agriculture mosaic, and Java OpenStreetMap editor (JOSM).
Satellite Imagery ESRI World Imagery was used for mapping because it is up to date than others in Ethiopia lowlands
Sentinel-2 Sentinel-2 is open source imagery provided by ESA, it’s in 10m resolution with multi- spectral bands. It used to perform terrestrial observations like forest monitoring or land cover changes detection. The imagery is updated every 16 days. To make agriculture band mosaic, band 11, 8 and 2 combination specifically to spot farmlands.
Tool for mapping JOSM is a desktop application that allows mappers to trace, map and manipulate data easily, thanks to its plugins and stability. For mapping were used ESRI and Sentinel-2 images both as base layers in JOSM. After 2 weeks of mapping, 194 commercial farms were added to OpenStreetMap. Before and after mapping: Previously, 55 farms were mapped in OpenStreetMap within Ethiopia lowlands. After, we mapped 194 farms in Ethiopia lowlands.
In the following table, you can see the number of farms added in Ethiopia’s lowlands according to size farm in hectares. We are looking for some validation, and Let me know if you have any questions and feedback!
India has a road network of over 56,03,293 kilometres(56 lakhs kilometres) as on 31 March 2016, the second largest road network in the world. Openstreetmap has about 15 lakhs of road length mapped in India.
What percentage of the population can reach the nearest hospital in 20 minutes?
What percentage of the population can be rescued by fire and rescue department in case of emergency in 30 minutes ?
We should place our hospitals and fire and rescue stations with the support of spatial data analysis.
For that, we need data, Open Data !!!
Data from https://metrics.improveosm.org/
- Q3 2016 - 11,71,820 Kms
- Q3 2017 - 13,02,207 Kms
- Q3 2018 - 15,05,239 Kms
Last one year OSM has mapped about 2,03,032 Kms (from Q3 2017 to Q3 2018). Previous one year OSM has mapped about 1,30,387 Kms (from Q3 2016 to Q3 2017).
Myself coming from WikiProject Indian roads in english Wikipedia, maps national highways in India. While national highways constitute 1.8% of Indian roads, they carry 40% of the traffic. I am involved in mapping state highways, major district road and other roads in Kerala too.
Every month egazette notifications are monitored. For every new NH announced it will be mapped in OSM and an article will be written english wikipedia. A wikidata QID is generated for each National Highway, that links Wikipedia article and mapped National highway in OSM.
- National Highways in India by highway number(See the Map)
- National Highway 48 Spur Map
- And Central Govt website for BharatMala project uses our OSM data. (without attribution)
- Total no of NH :- 590 (around)
- No of NH mapped in OSM :- 560 - Our Working page (If anyone interested join to help)
- No of NH having article in English Wikipedia:- 437 Our Working page (If anyone interested join to help)
You also can contribute to other road networks in India here.
Some of the road network is also completely mapped fully.
Roads are mapped manually at the rate of 2 lakhs kilometer per year. OSM India would take 20 years to completely map full road network in India(if it is done manually).
Two things we should try:-
- Govt should release road data in KML format through National Data Sharing and Accessibility Policy in Government Open Data License .
- Road data import using machine learning.(Kerala Road import)
About 1.5 lakh people die on Indian roads every year. We need better road data to plan, monitor, and manage infrastructure more effectively.
Through a healthy community and map-gardening many of the critical issues get noticed and acted upon immediately. A revert is absolute and removes changes indefinitely from the map. Repairs are more manual, often done with a mix of reversion and manual fixes, which are harder to track. osm-revert-changesets npm module is aimed at tracking absolute reverts and works well at 1:1 (changeset to changeset) reverts.
Reversion rules used
Currently, the module uses a starting set of 2 rules to identify reverted changesets.
Deletions of created features
- If a feature gets deleted at 2nd version. The edit that created the feature at 1st version is reverted.
Feature state is reset
- If Nth version of a feature is reset to N-2th version of a feature, then modifications that were done at N-1th, were reverted.
npm install osm-revert-changesets
const revertChangesets = require('osm-revert-changesets');
revertChangesets('62632427').then((list) => console.log(list));
[ '62629726' ]
Revertedcould be a flag for changesets in OSMCHA. Reverted changesets could be marked as bad automatically and they don't have to be reviewed again saving review time. I ticketed this feature request in OSMCHA at https://github.com/willemarcel/osmcha-django/issues/160
For large reverts conducted by DWG, this module could be used to return a list of reverted changesets to understand extent of damage, accounts involved and map area affected.
When changesets get reverted, the edits are removed from the map indefinitely. This module could be used to track amount of reversion on OSM.
- This module uses and depends on augmented changesets generated from osm-compare project used in OSMCHA. Example changeset:
- If a changeset is not available in this bucket, the npm module throws failed to fetch errors
- Module fails for reversion of changesets that have modified a feature more than once. Example is https://www.openstreetmap.org/way/622327697/history. This feature is created at V1, modified at V2, and then deleted at V3.
I would like community help in improving the reversion rules and to expand success rate of this module. Shifting to public API with longer historical data for getting feature history would improve reliability. If you have feedback and ideas for improvement, please file issues over at https://github.com/manoharuss/osm-revert-changesets/issues/.
I wonder why I spent so much time in and out on US Visa application when I can invest such time helping out my brothers in Philippines being ravaged by disastrous Typhon!!! Just occurred to me I can leave the Visa system for a while to cool off while I contribute to task #5236.And it was a great idea coz I just mapped a number of buildings.Let's keep mapping using every slight opportunity on net!!!!#uniquemappersteam Now I can check back on the US visa application system to continue!!!
After finishing mapping a lot of Paramus, (that one place with three malls) I decided to map Alpine. While I didn't really consistently map Alpine and instead mapped a lot of other random areas in Bergen County during the time I set my eyes on Alpine, today I decided to seriously revisit Alpine and finished mapping it.
It was way easier than Paramus, mostly because there is a lower population density and a lower area, hence less building to map. However, as Alpine is one of (if not the most) expensive places to live in within the entire United States, every building required way more nodes than usual. The houses are so large, some people could basically kill to live there!
A lot of my edits outside Alpine were in Hackensack. Downtown Hackensack has a lot of buildings and a lot of parking spaces. I'm going to map Hackensack very soon.
Next up is going to be River Edge, and then Palisades Park. I really love Palisades Park and every time I go there I feel great. Meanwhile, River Edge has a great public library, and something just makes Kinderkamack Road very lovable.
On OSM, Bergen County is improving quickly. At this rate, I don't see much, if anything stopping me from going on for at least another month.
You can click below to see Alpine:
Development Seed data team has been supporting the HOT community for a long time collaborating in many mapping projects in response to disasters, health, transportation.
The main objective on the participation in these disaster projects in these cities is to mitigate and reduce the impacts of natural disasters, thus helping the population to save lives and reduce the victims of events.
In the last months, Development Seed data team have been working in Ebola 2018 campaign, in this campaign 58 projects were created on tasking manager that have been developing since May, the Development Seed data team supported a project in the Congo, other projects where our team helped were in the project of the eruption of a volcano in Guatemala, earthquake in the city of Takatsuki in Japan, and also in floods in the cities of Kurashiki and Sojya - Japan.
More detail about each project and our support in each one can be seen below:
- Ebola virus disease in Democratic Republic of the Congo
- Project 2018 Ebola #49, Lac Tumba south 2
On 2018 May 8th, the Ministry of Health has announced the 9th Ebola outbreak in the Democratic Republic of the Congo. This task was aims to map the buildings in the villages south of Lac Tumba, in Equateur province.
The purpose of this mapping is to track all buildings that exist in the area to be able to visualize the population that exists in the area, which could be affected by Ebola disease if the spread of the disease is not prevented.
Task Manager for Project 2018 Ebola: https://tasks.hotosm.org/project/4632
In the image we can see those responsible for mitigating the disease that are in an area affected by the disease, in this image it is shown that they are fumigating a person who died from Ebola disease.
- Volcan de Fuego Eruption, Guatemala
On Sunday June 2nd, Guatemala’s Fuego Volcano erupted violently and with little warning, sending ash nearly four miles into the air, and burying villages under an avalanche like pyroclastic flow of super heated ash and volcanic gasses. For this reasons, the NASA Disasters Program has requested for maps of buildings and critical infrastructure in areas vulnerable to Lahar and Landslide, for estimating the number of structures, as well as population, vulnerable to lahar and landslide. For this request, the tasking manager were enabled and many users helped the buildings mapping.
Each building added on the map helps response and aid organizations prepare for, and minimize, compounding emergencies.
The new mappers' collaboration was really important to complete the task in short time and the expert mappers' collaboration was very helpful for validation the task due to the density of characteristics in the area of mapping, for that reason, Development Seed data team as expert mappers helped mostly in the validation.
Task Manager for Volcan de Fuego: https://tasks.hotosm.org/project/4709
- Takatsuki City, Osaka Earthquake 2018 JAPAN
On 18 June 2018, around 7:58 a.m. Japan Standard Time, an earthquake measuring 5.5 on the moment magnitude scale struck in northern Osaka Prefecture, Japan. The earthquake's epicenter was near Takatsuki and occurred at a depth of 13.2 kilometers (8.2 mi).
The shaking from the earthquake was felt strongly in the prefecture and the nearby metropolitan areas of Osaka and Kyoto, temporarily disrupting electrical and gas service to 170,000 homes and buildings. The earthquake struck during rush hour, disrupting train services for several hours, and also damaged water pipes and hundreds of homes. At least four people have been killed and 417 people have reported injuries
In this project all the buildings were mapped to be able to visualize the damages caused by the earthquake, and in this way the firemen, lifeguards can save and evacuate the affected population
Task Manager for the Osaka Earthquake: https://tasks.hotosm.org/project/4773
In the images we can see that because of the earthquake the roads were cracked and some houses collapsed.
- Japan Flood 2018 July, Kurashiki and Sojya, Okayama
In late June through mid-July 2018, successive heavy downpours in southwestern Japan resulted in widespread, devastating floods and mudflows. The event is officially referred to as Heisei san-jū-nen shichi-gatsu gōu (平成30年7月豪雨, "Heavy rain of July, Heisei 30") by the Japan Meteorological Agency. As of 20 July, 225 people were confirmed dead across 15 prefectures with a further 13 people reported missing. More than 8 million people were advised or urged to evacuate across 23 prefectures. It is the deadliest freshwater flood-related disaster in the country since the 1982 Nagasaki flood when 299 people died.
In this project all the buildings were mapped so that in this way to know how many buildings were affected in the area, this allows the aid to reach the areas affected by flooding and so people can be evacuated.
Task Manager for Japan Flood 2018: https://tasks.hotosm.org/project/4843
In the picture we can see the areas that were flooded and the firemen are in place to help people
All the previous tasks were completed 100% in the mapping and also in the validation.
The Development Seed data team is always on the lookout in the HOT slack chat, to see if there are urgent projects on which we can support. We also make tweets so that more people find out about the project and so they can join the cause and support, as an example this tweet was published in response to the earthquake that occurred in the city of Takatsuki Japan https://twitter.com/RichmanSAC/status/1009826919276310530
All these tasks are carried out jointly with other local and non-local communities, as in the case of Development Seed data team, in this way we can support the HOT community in the mapping and validation of disasters no matter where we are.
Today I arose at 0400 hours to catch an early flight to Turkmenbashy, then upon arrival there rode a bus for three hours to Garabogaz over the bumpy P-18 "highway" (actually a 1-1/2 lane country road most of the way) to witness the opening of the Garabogaz Carbamide (Urea) Plant. This will be an important augmentation of the export potential of Turkmenistan so is something that needs to be mapped, including contact information, which I added this evening upon return to Ashgabat. A small number of Mapillary images are being uploaded as I type this.
Recently had a delightful narrowboat cruise around the Milton Keynes area (yes the canal route is remarkably green here). When I checked mapping, I found that, a few years ago, much of the towpath had been mapped as 'bridleway'. Now, canal users did originally use horses to tow their boats but that does not imply any general right of access, unless a towpath has been adopted as a PROW. Most of the UK Canal Network is now controlled by the Canal and River Trust and there are signs to say that pedestrians may use the towpath, while cyclists are 'permissive' and horse-riders should seek permission. I assume this applies to all their canals, see https://canalrivertrust.org.uk/enjoy-the-waterways/cycling/cycling-faqs . I would support towpaths being mapped as bicycle = permissive (or yes); foot = yes; highway= footway; operator = Canal and River Trust; towpath = yes - and only designation= if a PROW. Where cycle networks run on towpaths then I've seen the use of highway=cycleway etc. Any other views? Maybe https://wiki.openstreetmap.org/wiki/United_Kingdom_waterways needs updating to reflect the available Canal and River Trust policies?
A new release is ready for download! Several new features and changes were made. For example the isochrone module is now open source! Read more about this release here
One of my favourite activities is mapping trails and other stuff in the forest, especially when mapping using an MTB. Using a bike allows my to get further quicker than I would by foot, and with the bike I can go more or less anywhere.
Also, it is really fun to ride an MTB in the forests where I live. I try to map the trails that might be useful for others. Another important thing is that other map providers often do not have any information about trails/paths in the countryside.
So I thought it could be interesting to show what stuff I usually pack when going on a trip. Apart from what is shown in the images I also bring some food or snack, such as fruit or a chocolate bar. Then I also keep some backup carbs such as a gel in my pack, just in case I run out of fuel.
From right to left we have:
- Backpack and hydration bladder
- GPS. I usually use an Etrex30, but on longer trips I also bring an old Foretrex as backup
- Spare bike light. It can't replace a real light, but it's small and easy to carry, so it's good to bring along in case I stay out for too long.
- Gel or some other form of backup energy. Something that lasts for a long time, so I can keep it in the backpack for a longer period.
- Reserve tube. I switch size depending on the bike I will use.
- Bike pump
- A little toilet paper in a plastic bag. The plastic bag can serve many purposes, the toilet paper can be used for wounds, and of course it can be used normally as well. When you need it, you're glad you've brought it along! And it only weighs a few grams.
- Tools in a smaller bag. See the image below.
- First aid kit. Pretty cheap and light, but contains most stuff one may need. I keep this in a plastic bag as well, so it is clean and dry when it is needed.
In the small bag I have:
- Multitool for bikes (includes a chain tool)
- Tyre levers
- Plastic strips. Useful for many things
- Spare derailleur hanger. Can save you a long walk home.
- Some spare bolts. I probably need to add a few more different sizes though.
- Chain quicklinks. Since I use different bikes I bring one of each for 8, 10 and 11 speed chains.
When I go for a mapping ride, I usually go alone, since my biking friends don't enjoy crawling through thick forests to find an old quarry, trying small paths just to see where they might end up (often dead ends) or spending 30 minutes looking for an old ruin. So when I ride alone I use the OsMoDroid app to automatically send my position every minute so that my family can find me in case I have an accident or similar.
In the GPS unit I have stored POIs for places that I suspect may hold something interesting I might want to map. In the phone I also keep a planned route and the OsmAnd app, which is really useful.
Of course I also bring clothes to match the weather. What I probably should get is a small pocket knife, since that can be very useful if anything happens in the wilderness.
Note: I don't endorse any particular brand of gear. All these items I have purchased and paid for myself.
So today the 16th day of September 2018, I mapped the Cagayan and Batanes areas of Philippines. I contributed in mapping more than 80 buildings to support the local mappers and also to celebrate my friend's birthday lol. Though I'm still mapping, lemme see how many more buildings I can help in mapping in the next few hours. Currently mapping this area
On Monday 10th September 2018 I was engaged into a week OSM fight with OLODIA AMBROSE a great colleague and friend of mine. I was able to meet the target of digitizing over 3000 buildings on Friday 19th of September 2018. My major contribution on the mapping were at #Mpapetremor, #Ozuoba_RiversState and others. Well, I had to give in a lot ; my time, leisure and duties for it tenaciously because my competitor is a tough match. One of my secrete to this huge success was performing my best under fun. Fun is the secret ingredient to staying calm and doing best when the heat of competition is turned up high. I tell you this is one interesting thing or game I find doing aside playing chess and I'm glad to be a participant. Above all things glory God.
Contributed to HOT OSM Project: #5236 - Typhoon Ompong: Cagayan and Batanes Structures
There were a lot of remote structures that made me imagine what horrors could have happened there and no one ever found out about. Though, on the bright side, they could also be secret headquarters of super-heroes.
In the end, I realized that the popular saying "Everything is connected" is not true
On this day in our cwts++ class(September 13, 2018) we learned more about Mapilliary and OpenStreetMap, on how we use it properly and also we did some validation in JOSM. On our leaderboard, the class has already made 23,000++ edits in mapping. Its like 36,535 basketball courts. I was happy because our hardwork in mapping had a remarkable result. We were also taught on how we can improve our mapping skills and how we can map more precisely.
Some of my classmates are doing a task in the Philippines "PH road network improvement" in which they have to find out where the missing roads in the Philippines. Mapping is very fun and interesting but it’s hard because some of the imagery are cloudy and some buildings are really hard to be found. And our instructor discussed about the "SatNav System" or "Satellite Navigation System" that allows small electronic receiver to determine their location. And the "GPS Satellite Constellation" consists of a constellation of satellites transmitting radio signals to users. And also our instructor discussed about how GPS works. Weather, time of day and precipitation may affect the radio signal.
After the discussion we had a individual appraisal and by group, we show and tell to our instructor about our neighborhood edits using OpenStreetMap and JOSM. The instructions are login to your OSM account and locate your neighborhood after that, download the data in JOSM and filter your edits. We validated, and fixed our issues in our neighborhood using JOSM and also we double checked our fieldpapers that we marked so that we can review our edits in JOSM to resolve some errors. When you want edit maps using JOSM, you could download the map and you could use it online while iD editor in OpenStreetMap needs wifi access. Some of my classmates kave done a lot of edits in their neigborhood, they found out what establishments that are not specified in the OpenStreetMap.
There are some issues that our instructor showed us and asked us on how we can resolved it. We validated task 4993 in Lake Sebu, SCO, PH. We used the JOSM editor to validate our classmates’ edits. In this session of cwts++, we have learned a lot like the website Maproulette which our instructor introduced but sadly only few of my classmates can validate because they finished their assigned task and we had a seatwork to find a funeral or memorial homes and double checked the tags.
Every session that we enter gives us more knowledge that we need in mapping. I hope to learn and contribute more in the upcoming sessions. I would also like to thank our instructor, Mr. Erwin Olario for teaching us new things and knowledge in this field!.
I participate in the PUPCWTS++ initiative as a mentor for volunteers undertaking their National Service Training Program, collaborating with a the San Juan campus of the Polytechnic University of the Philippines.
One of our program objectives is to provide the participants with a better appreciation for spatial data, and the same time, provide them with digital mapping skills, by contributing to other open data projects. We also would like to impart the value of volunteerism in them, and what it takes to become (digital) humanitarians.
Back in June, before we started, this is how the Philippines looked like with ImproveOSM:
And today, this is how the country looks, compared to the rest of southeast Asia:
Apart from missing roads, they also work on mapping communities in many parts of the Philippines, especially around Lake Sebu in Mindanao, as well as mapping their own neighborhoods in Metro Manila, where they live, using a variety of open tools: FieldPapers, JOSM, and capturing street-level imagery usng Mapillary or OpenStreetCam.
They also hone their skills by working on other tasks, like a number of road network improvement we have in Kaart, and contributed to recent disaster response tasks in Laos, India, Japan, and various projects in Africa.
It is a delight to tell you that our young volunteers work on most of these tasks using their own time, outside the classroom setting. Our classroom sessions are dedicated to learning new skills or techniques, and to discuss issues encountered, or to exchange feedback.
I thought of adding a group photo, but realized that we never had taken the time to pose for a good group picture. :D)
If you see a
#pupsjcwts hashtag in a changeset comment, it would be if you could leave them some constructive feedback.
So I am fairly new to OSM and am hoping that this will be a great resource for my masters thesis which is focusing on changing indigenous territorial boundaries in Mato Grosso do Sul as a result of the past 2 (well 3 I guess since Temer replaced Rousseff after she was impeached..) I have some shapefiles for boundaries from 2010, but nothing more recent. I’m hoping that this is a good place to look for up-to-date data!
A friend with connections in Riga obtained for me reprints of uncopyrighted Soviet military maps from the 1970s of all of Turkmenistan. I'm not sure how useful they will be as a lot has changed here since the 1970s (particularly the names of municipalities) but at least they will provide some historical names that may be useful and of interest. If anybody has experience working with Soviet-era maps and has tips or suggestions, please let me know!